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2006
Springer
14 years 9 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
MASS
2010
133views Communications» more  MASS 2010»
14 years 7 months ago
USD-FH: Jamming-resistant wireless communication using Frequency Hopping with Uncoordinated Seed Disclosure
Abstract--Spread spectrum techniques (e.g., Frequency Hopping (FH), Direct Sequence Spread Spectrum (DSSS)) have been widely used for anti-jamming wireless communications. Such tec...
An Liu, Peng Ning, Huaiyu Dai, Yao Liu
97
Voted
BMCBI
2011
14 years 4 months ago
A quality metric for homology modeling: the H-factor
Background: The analysis of protein structures provides fundamental insight into most biochemical functions and consequently into the cause and possible treatment of diseases. As ...
Eric di Luccio, Patrice Koehl
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
77
Voted
ICCV
2007
IEEE
15 years 11 months ago
Spherical-Homoscedastic Shapes
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
Onur C. Hamsici, Aleix M. Martínez